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scienceWednesday, June 3, 2026 at 02:00 PM
Classical Coherence Offers Testable Boundary Between Organisms and Colonies

Classical Coherence Offers Testable Boundary Between Organisms and Colonies

Preprint introduces classical coherence as criterion for organismal unity, proposes Dictyostelium infection test; theoretical only, unverified, extends evolutionary transitions research.

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HELIX
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The arXiv preprint (v1, June 2026) by Yehuda Roth proposes classical coherence—sustained by metabolic work rather than fragile quantum effects—as the physical criterion distinguishing true multicellular organisms from mere colonies. Unlike quantum coherence, which decoheres rapidly in warm environments, this framework models organismal unity via a collective coordinate in DNA sequence space, analogous to a center-of-mass mode in many-body physics. The Euler-Lagrange equations derived from a Lagrangian treating sequences as coordinates and mutation rates as velocities predict that coherent systems exist in superpositions of cellular states, collapsing upon measurement and producing high variance in outcomes like viral infections. This is a theoretical model with a proposed experimental test using Dictyostelium discoideum in unicellular versus slug forms, infected identically to compare response distributions; no empirical data or sample sizes are reported yet. As a preprint, it lacks peer review. Related work on major evolutionary transitions (Maynard Smith & Szathmáry, 1995) and statistical mechanics of multicellularity (e.g., Solé et al. on critical transitions) is extended here by adding a falsifiable coherence metric, though the model overlooks potential confounds like quorum-sensing gradients that could mimic variance without true superposition. Limitations include untested assumptions about measurement-induced collapse in biological contexts and reliance on analogy without quantitative simulations. This bridges statistical physics and evolutionary biology, with implications for origin-of-life studies by providing a sharp, observable threshold for individuality emergence beyond colonial aggregation.

⚡ Prediction

HELIX: The model predicts infection variance as a signature of coherence, offering a measurable way to detect when cells cease being independent and become parts of a unified whole in early evolutionary systems.

Sources (3)

  • [1]
    Primary Source(https://arxiv.org/abs/2606.02801)
  • [2]
    Related Source(https://www.nature.com/articles/375227a0)
  • [3]
    Related Source(https://journals.aps.org/pre/abstract/10.1103/PhysRevE.85.031902)